Pandas Profiling Report

Dataset statistics

Number of variables	26
Number of observations	130
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	26.5 KiB
Average record size in memory	209.0 B

Variable types

Numeric	19
Categorical	7

Warnings

`PLAYER NAME` has a high cardinality: 130 distinct values	High cardinality
`RUNS-C` is highly correlated with `WKTS`	High correlation
`WKTS` is highly correlated with `RUNS-C`	High correlation
`AVE-BL` is highly correlated with `SR-BL`	High correlation
`SR-BL` is highly correlated with `AVE-BL`	High correlation
`Sl.NO.` is uniformly distributed	Uniform
`PLAYER NAME` is uniformly distributed	Uniform
`Sl.NO.` has unique values	Unique
`PLAYER NAME` has unique values	Unique
`T-RUNS` has 28 (21.5%) zeros	Zeros
`T-WKTS` has 45 (34.6%) zeros	Zeros
`ODI-RUNS-S` has 9 (6.9%) zeros	Zeros
`ODI-SR-B` has 9 (6.9%) zeros	Zeros
`ODI-WKTS` has 34 (26.2%) zeros	Zeros
`ODI-SR-BL` has 34 (26.2%) zeros	Zeros
`RUNS-S` has 2 (1.5%) zeros	Zeros
`HS` has 2 (1.5%) zeros	Zeros
`AVE` has 3 (2.3%) zeros	Zeros
`SR-B` has 2 (1.5%) zeros	Zeros
`SIXERS` has 26 (20.0%) zeros	Zeros
`RUNS-C` has 36 (27.7%) zeros	Zeros
`WKTS` has 41 (31.5%) zeros	Zeros
`AVE-BL` has 41 (31.5%) zeros	Zeros
`ECON` has 36 (27.7%) zeros	Zeros
`SR-BL` has 41 (31.5%) zeros	Zeros

Reproduction

Analysis started	2021-02-09 12:47:20.551325
Analysis finished	2021-02-09 12:51:52.929159
Duration	4 minutes and 32.38 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

Sl.NO.
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	130
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	65.5
Minimum	1
Maximum	130
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	7.45
Q1	33.25
median	65.5
Q3	97.75
95-th percentile	123.55
Maximum	130
Range	129
Interquartile range (IQR)	64.5

Descriptive statistics

Standard deviation	37.67182855
Coefficient of variation (CV)	0.5751424207
Kurtosis	-1.2
Mean	65.5
Median Absolute Deviation (MAD)	32.5
Skewness	0
Sum	8515
Variance	1419.166667
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
130	1	0.8%
33	1	0.8%
35	1	0.8%
36	1	0.8%
37	1	0.8%
38	1	0.8%
39	1	0.8%
40	1	0.8%
41	1	0.8%
42	1	0.8%
Other values (120)	120	92.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.8%
2	1	0.8%
3	1	0.8%
4	1	0.8%
5	1	0.8%

Value	Count	Frequency (%)
130	1	0.8%
129	1	0.8%
128	1	0.8%
127	1	0.8%
126	1	0.8%

PLAYER NAME
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	130
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Flintoff, A	1
Chanderpaul, S	1
Malinga, SL	1
Kaif, M	1
Sharma, J	1
Other values (125)	125

Length

Max length	17
Median length	10
Mean length	10.58461538
Min length	6

Characters and Unicode

Total characters	1376
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	130 ?
Unique (%)	100.0%

Sample

1st row	Abdulla, YA
2nd row	Abdur Razzak
3rd row	Agarkar, AB
4th row	Ashwin, R
5th row	Badrinath, S

Value	Count	Frequency (%)
Flintoff, A	1	0.8%
Chanderpaul, S	1	0.8%
Malinga, SL	1	0.8%
Kaif, M	1	0.8%
Sharma, J	1	0.8%
Smith, DR	1	0.8%
Zaheer Khan	1	0.8%
Noffke, AA	1	0.8%
Morkel, JA	1	0.8%
Patel, MM	1	0.8%
Other values (120)	120	92.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
a	6	2.3%
m	5	1.9%
s	5	1.9%
ab	4	1.5%
singh	4	1.5%
khan	3	1.1%
sharma	3	1.1%
pp	2	0.8%
morkel	2	0.8%
sm	2	0.8%
Other values (208)	227	86.3%

Most occurring characters

Value	Count	Frequency (%)
a	142	10.3%
	133	9.7%
,	114	8.3%
r	66	4.8%
i	62	4.5%
n	60	4.4%
e	55	4.0%
h	54	3.9%
S	44	3.2%
l	41	3.0%
Other values (43)	605	44.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	765	55.6%
Uppercase Letter	361	26.2%
Space Separator	133	9.7%
Other Punctuation	114	8.3%
Dash Punctuation	3	0.2%

Most frequent character per category

Value	Count	Frequency (%)
a	142	18.6%
r	66	8.6%
i	62	8.1%
n	60	7.8%
e	55	7.2%
h	54	7.1%
l	41	5.4%
o	34	4.4%
s	31	4.1%
t	29	3.8%
Other values (16)	191	25.0%

Value	Count	Frequency (%)
S	44	12.2%
M	36	10.0%
A	31	8.6%
P	27	7.5%
D	25	6.9%
K	24	6.6%
R	22	6.1%
J	18	5.0%
B	16	4.4%
H	15	4.2%
Other values (14)	103	28.5%

Value	Count	Frequency (%)
,	114	100.0%

Value	Count	Frequency (%)
	133	100.0%

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1126	81.8%
Common	250	18.2%

Most frequent character per script

Value	Count	Frequency (%)
a	142	12.6%
r	66	5.9%
i	62	5.5%
n	60	5.3%
e	55	4.9%
h	54	4.8%
S	44	3.9%
l	41	3.6%
M	36	3.2%
o	34	3.0%
Other values (40)	532	47.2%

Value	Count	Frequency (%)
	133	53.2%
,	114	45.6%
-	3	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1376	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	142	10.3%
	133	9.7%
,	114	8.3%
r	66	4.8%
i	62	4.5%
n	60	4.4%
e	55	4.0%
h	54	3.9%
S	44	3.2%
l	41	3.0%
Other values (43)	605	44.0%

AGE
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	86
3	28
1	16

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	130
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	2

Value	Count	Frequency (%)
2	86	66.2%
3	28	21.5%
1	16	12.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	86	66.2%
3	28	21.5%
1	16	12.3%

Most occurring characters

Value	Count	Frequency (%)
2	86	66.2%
3	28	21.5%
1	16	12.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	130	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	86	66.2%
3	28	21.5%
1	16	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	130	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	86	66.2%
3	28	21.5%
1	16	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	86	66.2%
3	28	21.5%
1	16	12.3%

COUNTRY
Categorical

Distinct	10
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

IND	53
AUS	22
SA	16
SL	12
PAK	9
Other values (5)	18

Length

Max length	3
Median length	3
Mean length	2.684615385
Min length	2

Characters and Unicode

Total characters	349
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.5%

Sample

1st row	SA
2nd row	BAN
3rd row	IND
4th row	IND
5th row	IND

Value	Count	Frequency (%)
IND	53	40.8%
AUS	22	16.9%
SA	16	12.3%
SL	12	9.2%
PAK	9	6.9%
NZ	7	5.4%
WI	6	4.6%
ENG	3	2.3%
BAN	1	0.8%
ZIM	1	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
ind	53	40.8%
aus	22	16.9%
sa	16	12.3%
sl	12	9.2%
pak	9	6.9%
nz	7	5.4%
wi	6	4.6%
eng	3	2.3%
zim	1	0.8%
ban	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
N	64	18.3%
I	60	17.2%
D	53	15.2%
S	50	14.3%
A	48	13.8%
U	22	6.3%
L	12	3.4%
P	9	2.6%
K	9	2.6%
Z	8	2.3%
Other values (5)	14	4.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	349	100.0%

Most frequent character per category

Value	Count	Frequency (%)
N	64	18.3%
I	60	17.2%
D	53	15.2%
S	50	14.3%
A	48	13.8%
U	22	6.3%
L	12	3.4%
P	9	2.6%
K	9	2.6%
Z	8	2.3%
Other values (5)	14	4.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	349	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	64	18.3%
I	60	17.2%
D	53	15.2%
S	50	14.3%
A	48	13.8%
U	22	6.3%
L	12	3.4%
P	9	2.6%
K	9	2.6%
Z	8	2.3%
Other values (5)	14	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	349	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	64	18.3%
I	60	17.2%
D	53	15.2%
S	50	14.3%
A	48	13.8%
U	22	6.3%
L	12	3.4%
P	9	2.6%
K	9	2.6%
Z	8	2.3%
Other values (5)	14	4.0%

TEAM
Categorical

Distinct	17
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

CSK	14
KKR+	12
RCB+	12
DD+	10
DC+	10
Other values (12)	72

Length

Max length	5
Median length	3
Mean length	3.184615385
Min length	2

Characters and Unicode

Total characters	414
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	KXIP
2nd row	RCB
3rd row	KKR
4th row	CSK
5th row	CSK

Value	Count	Frequency (%)
CSK	14	10.8%
KKR+	12	9.2%
RCB+	12	9.2%
DD+	10	7.7%
DC+	10	7.7%
RR+	9	6.9%
RCB	9	6.9%
KXIP+	7	5.4%
DC	7	5.4%
MI	6	4.6%
Other values (7)	34	26.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
rcb	21	16.2%
csk	19	14.6%
kkr	17	13.1%
dc	17	13.1%
dd	16	12.3%
rr	15	11.5%
kxip	12	9.2%
mi	12	9.2%
kxi	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
+	72	17.4%
R	68	16.4%
K	66	15.9%
C	57	13.8%
D	49	11.8%
I	25	6.0%
B	21	5.1%
S	19	4.6%
X	13	3.1%
P	12	2.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	342	82.6%
Math Symbol	72	17.4%

Most frequent character per category

Value	Count	Frequency (%)
R	68	19.9%
K	66	19.3%
C	57	16.7%
D	49	14.3%
I	25	7.3%
B	21	6.1%
S	19	5.6%
X	13	3.8%
P	12	3.5%
M	12	3.5%

Value	Count	Frequency (%)
+	72	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	342	82.6%
Common	72	17.4%

Most frequent character per script

Value	Count	Frequency (%)
R	68	19.9%
K	66	19.3%
C	57	16.7%
D	49	14.3%
I	25	7.3%
B	21	6.1%
S	19	5.6%
X	13	3.8%
P	12	3.5%
M	12	3.5%

Value	Count	Frequency (%)
+	72	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	414	100.0%

Most frequent character per block

Value	Count	Frequency (%)
+	72	17.4%
R	68	16.4%
K	66	15.9%
C	57	13.8%
D	49	11.8%
I	25	6.0%
B	21	5.1%
S	19	4.6%
X	13	3.1%
P	12	2.9%

PLAYING ROLE
Categorical

Distinct	4
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Bowler	44
Batsman	39
Allrounder	35
W. Keeper	12

Length

Max length	10
Median length	7
Mean length	7.653846154
Min length	6

Characters and Unicode

Total characters	995
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Allrounder
2nd row	Bowler
3rd row	Bowler
4th row	Bowler
5th row	Batsman

Value	Count	Frequency (%)
Bowler	44	33.8%
Batsman	39	30.0%
Allrounder	35	26.9%
W. Keeper	12	9.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
bowler	44	31.0%
batsman	39	27.5%
allrounder	35	24.6%
w	12	8.5%
keeper	12	8.5%

Most occurring characters

Value	Count	Frequency (%)
r	126	12.7%
e	115	11.6%
l	114	11.5%
B	83	8.3%
o	79	7.9%
a	78	7.8%
n	74	7.4%
w	44	4.4%
t	39	3.9%
s	39	3.9%
Other values (9)	204	20.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	829	83.3%
Uppercase Letter	142	14.3%
Other Punctuation	12	1.2%
Space Separator	12	1.2%

Most frequent character per category

Value	Count	Frequency (%)
r	126	15.2%
e	115	13.9%
l	114	13.8%
o	79	9.5%
a	78	9.4%
n	74	8.9%
w	44	5.3%
t	39	4.7%
s	39	4.7%
m	39	4.7%
Other values (3)	82	9.9%

Value	Count	Frequency (%)
B	83	58.5%
A	35	24.6%
W	12	8.5%
K	12	8.5%

Value	Count	Frequency (%)
.	12	100.0%

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	971	97.6%
Common	24	2.4%

Most frequent character per script

Value	Count	Frequency (%)
r	126	13.0%
e	115	11.8%
l	114	11.7%
B	83	8.5%
o	79	8.1%
a	78	8.0%
n	74	7.6%
w	44	4.5%
t	39	4.0%
s	39	4.0%
Other values (7)	180	18.5%

Value	Count	Frequency (%)
.	12	50.0%
	12	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	995	100.0%

Most frequent character per block

Value	Count	Frequency (%)
r	126	12.7%
e	115	11.6%
l	114	11.5%
B	83	8.3%
o	79	7.9%
a	78	7.8%
n	74	7.4%
w	44	4.4%
t	39	3.9%
s	39	3.9%
Other values (9)	204	20.5%

T-RUNS
Real number (ℝ_≥0)

ZEROS

Distinct	103
Distinct (%)	79.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2166.715385
Minimum	0
Maximum	15470
Zeros	28
Zeros (%)	21.5%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	25.5
median	542.5
Q3	3002.25
95-th percentile	9111.55
Maximum	15470
Range	15470
Interquartile range (IQR)	2976.75

Descriptive statistics

Standard deviation	3305.646757
Coefficient of variation (CV)	1.525648814
Kurtosis	3.374525436
Mean	2166.715385
Median Absolute Deviation (MAD)	542.5
Skewness	1.928024455
Sum	281673
Variance	10927300.48
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	28	21.5%
3154	1	0.8%
60	1	0.8%
6973	1	0.8%
63	1	0.8%
320	1	0.8%
288	1	0.8%
70	1	0.8%
74	1	0.8%
5708	1	0.8%
Other values (93)	93	71.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	28	21.5%
5	1	0.8%
11	1	0.8%
13	1	0.8%
16	1	0.8%

Value	Count	Frequency (%)
15470	1	0.8%
13288	1	0.8%
13218	1	0.8%
12379	1	0.8%
10440	1	0.8%

T-WKTS
Real number (ℝ_≥0)

ZEROS

Distinct	60
Distinct (%)	46.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	66.53076923
Minimum	0
Maximum	800
Zeros	45
Zeros (%)	34.6%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	7
Q3	47.5
95-th percentile	376.05
Maximum	800
Range	800
Interquartile range (IQR)	47.5

Descriptive statistics

Standard deviation	142.6768555
Coefficient of variation (CV)	2.144524363
Kurtosis	10.23356631
Mean	66.53076923
Median Absolute Deviation (MAD)	7
Skewness	3.104904481
Sum	8649
Variance	20356.68509
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	45	34.6%
1	6	4.6%
2	5	3.8%
5	5	3.8%
7	4	3.1%
9	4	3.1%
32	2	1.5%
21	2	1.5%
6	2	1.5%
157	2	1.5%
Other values (50)	53	40.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	45	34.6%
1	6	4.6%
2	5	3.8%
3	1	0.8%
5	5	3.8%

Value	Count	Frequency (%)
800	1	0.8%
708	1	0.8%
619	1	0.8%
563	1	0.8%
421	1	0.8%

ODI-RUNS-S
Real number (ℝ_≥0)

ZEROS

Distinct	117
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2508.738462
Minimum	0
Maximum	18426
Zeros	9
Zeros (%)	6.9%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	73.25
median	835
Q3	3523.5
95-th percentile	10540.2
Maximum	18426
Range	18426
Interquartile range (IQR)	3450.25

Descriptive statistics

Standard deviation	3582.205625
Coefficient of variation (CV)	1.427891221
Kurtosis	3.496939373
Mean	2508.738462
Median Absolute Deviation (MAD)	817
Skewness	1.874177372
Sum	326136
Variance	12832197.14
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9	6.9%
1	3	2.3%
1100	2	1.5%
73	2	1.5%
18	2	1.5%
4686	1	0.8%
6455	1	0.8%
2105	1	0.8%
575	1	0.8%
3393	1	0.8%
Other values (107)	107	82.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	6.9%
1	3	2.3%
3	1	0.8%
4	1	0.8%
5	1	0.8%

Value	Count	Frequency (%)
18426	1	0.8%
13704	1	0.8%
13430	1	0.8%
11498	1	0.8%
11363	1	0.8%

ODI-SR-B
Real number (ℝ_≥0)

ZEROS

Distinct	118
Distinct (%)	90.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	71.16438462
Minimum	0
Maximum	116.66
Zeros	9
Zeros (%)	6.9%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	65.65
median	78.225
Q3	86.79
95-th percentile	98.767
Maximum	116.66
Range	116.66
Interquartile range (IQR)	21.14

Descriptive statistics

Standard deviation	25.89843966
Coefficient of variation (CV)	0.3639241708
Kurtosis	1.876015486
Mean	71.16438462
Median Absolute Deviation (MAD)	9.32
Skewness	-1.438179803
Sum	9251.37
Variance	670.7291768
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9	6.9%
100	2	1.5%
78.96	2	1.5%
50	2	1.5%
60	2	1.5%
27.77	1	0.8%
85.77	1	0.8%
71.23	1	0.8%
78.94	1	0.8%
84.44	1	0.8%
Other values (108)	108	83.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	6.9%
14.28	1	0.8%
27.77	1	0.8%
34	1	0.8%
34.05	1	0.8%

Value	Count	Frequency (%)
116.66	1	0.8%
113.87	1	0.8%
113.6	1	0.8%
104.68	1	0.8%
100.25	1	0.8%

ODI-WKTS
Real number (ℝ_≥0)

ZEROS

Distinct	74
Distinct (%)	56.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	76.07692308
Minimum	0
Maximum	534
Zeros	34
Zeros (%)	26.2%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	18.5
Q3	106
95-th percentile	330.7
Maximum	534
Range	534
Interquartile range (IQR)	106

Descriptive statistics

Standard deviation	111.2050704
Coefficient of variation (CV)	1.461745111
Kurtosis	2.803627375
Mean	76.07692308
Median Absolute Deviation (MAD)	18.5
Skewness	1.797747378
Sum	9890
Variance	12366.56768
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34	26.2%
1	9	6.9%
2	4	3.1%
3	4	3.1%
154	2	1.5%
67	2	1.5%
34	2	1.5%
100	2	1.5%
16	2	1.5%
133	2	1.5%
Other values (64)	67	51.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34	26.2%
1	9	6.9%
2	4	3.1%
3	4	3.1%
4	1	0.8%

Value	Count	Frequency (%)
534	1	0.8%
400	1	0.8%
393	1	0.8%
381	1	0.8%
377	1	0.8%

ODI-SR-BL
Real number (ℝ_≥0)

ZEROS

Distinct	82
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	34.03384615
Minimum	0
Maximum	150
Zeros	34
Zeros (%)	26.2%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	36.6
Q3	45.325
95-th percentile	64.74
Maximum	150
Range	150
Interquartile range (IQR)	45.325

Descriptive statistics

Standard deviation	26.75174863
Coefficient of variation (CV)	0.7860336593
Kurtosis	3.527733863
Mean	34.03384615
Median Absolute Deviation (MAD)	9.5
Skewness	1.060627394
Sum	4424.4
Variance	715.6560549
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34	26.2%
42	3	2.3%
42.1	2	1.5%
36.3	2	1.5%
60	2	1.5%
34	2	1.5%
43	2	1.5%
36.6	2	1.5%
41.4	2	1.5%
45.1	2	1.5%
Other values (72)	77	59.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34	26.2%
12	1	0.8%
23.4	1	0.8%
27.5	1	0.8%
28.5	1	0.8%

Value	Count	Frequency (%)
150	1	0.8%
137	1	0.8%
117	1	0.8%
90	1	0.8%
86.6	1	0.8%

CAPTAINCY EXP
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0	89
1	41

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	130
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	89	68.5%
1	41	31.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	89	68.5%
1	41	31.5%

Most occurring characters

Value	Count	Frequency (%)
0	89	68.5%
1	41	31.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	130	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	89	68.5%
1	41	31.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	130	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	89	68.5%
1	41	31.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	89	68.5%
1	41	31.5%

RUNS-S
Real number (ℝ_≥0)

ZEROS

Distinct	115
Distinct (%)	88.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	514.2461538
Minimum	0
Maximum	2254
Zeros	2
Zeros (%)	1.5%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	3.45
Q1	39
median	172
Q3	925.25
95-th percentile	1794.1
Maximum	2254
Range	2254
Interquartile range (IQR)	886.25

Descriptive statistics

Standard deviation	615.2263346
Coefficient of variation (CV)	1.196365457
Kurtosis	0.08308023165
Mean	514.2461538
Median Absolute Deviation (MAD)	165.5
Skewness	1.123951999
Sum	66852
Variance	378503.4428
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	4	3.1%
3	4	3.1%
11	3	2.3%
39	3	2.3%
0	2	1.5%
49	2	1.5%
36	2	1.5%
52	2	1.5%
81	2	1.5%
60	1	0.8%
Other values (105)	105	80.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	1.5%
2	1	0.8%
3	4	3.1%
4	4	3.1%
6	1	0.8%

Value	Count	Frequency (%)
2254	1	0.8%
2065	1	0.8%
2047	1	0.8%
1975	1	0.8%
1965	1	0.8%

HS
Real number (ℝ_≥0)

ZEROS

Distinct	73
Distinct (%)	56.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	47.43076923
Minimum	0
Maximum	158
Zeros	2
Zeros (%)	1.5%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	16
median	35.5
Q3	73.75
95-th percentile	109.55
Maximum	158
Range	158
Interquartile range (IQR)	57.75

Descriptive statistics

Standard deviation	36.40362416
Coefficient of variation (CV)	0.7675107267
Kurtosis	-0.6117550589
Mean	47.43076923
Median Absolute Deviation (MAD)	27
Skewness	0.5868360157
Sum	6166
Variance	1325.223852
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	7	5.4%
71	5	3.8%
16	5	3.8%
24	4	3.1%
11	4	3.1%
15	4	3.1%
75	3	2.3%
2	3	2.3%
109	3	2.3%
34	3	2.3%
Other values (63)	89	68.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	1.5%
2	3	2.3%
3	7	5.4%
4	2	1.5%
6	1	0.8%

Value	Count	Frequency (%)
158	1	0.8%
128	1	0.8%
119	1	0.8%
117	1	0.8%
116	1	0.8%

AVE
Real number (ℝ_≥0)

ZEROS

Distinct	113
Distinct (%)	86.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	18.71930769
Minimum	0
Maximum	50.11
Zeros	3
Zeros (%)	2.3%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2.45
Q1	9.825
median	18.635
Q3	27.8725
95-th percentile	36.1525
Maximum	50.11
Range	50.11
Interquartile range (IQR)	18.0475

Descriptive statistics

Standard deviation	11.09422422
Coefficient of variation (CV)	0.5926621009
Kurtosis	-0.8104524672
Mean	18.71930769
Median Absolute Deviation (MAD)	9.08
Skewness	0.1475210944
Sum	2433.51
Variance	123.0818111
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	4	3.1%
0	3	2.3%
11	3	2.3%
9	3	2.3%
3	3	2.3%
22.33	2	1.5%
1	2	1.5%
9.9	2	1.5%
27.97	2	1.5%
21	2	1.5%
Other values (103)	104	80.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	2.3%
1	2	1.5%
1.5	1	0.8%
2	1	0.8%
3	3	2.3%

Value	Count	Frequency (%)
50.11	1	0.8%
42.27	1	0.8%
39.92	1	0.8%
37.91	1	0.8%
37.13	1	0.8%

SR-B
Real number (ℝ_≥0)

ZEROS

Distinct	125
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	111.0534615
Minimum	0
Maximum	235.49
Zeros	2
Zeros (%)	1.5%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	37.614
Q1	98.2375
median	118.51
Q3	129.1025
95-th percentile	158.2125
Maximum	235.49
Range	235.49
Interquartile range (IQR)	30.865

Descriptive statistics

Standard deviation	35.92890656
Coefficient of variation (CV)	0.3235280203
Kurtosis	2.268089265
Mean	111.0534615
Median Absolute Deviation (MAD)	13.63
Skewness	-0.5898743772
Sum	14436.95
Variance	1290.886327
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2	1.5%
80	2	1.5%
131.88	2	1.5%
110.63	2	1.5%
133.33	2	1.5%
114.73	1	0.8%
106.81	1	0.8%
105.62	1	0.8%
165.88	1	0.8%
136.27	1	0.8%
Other values (115)	115	88.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	1.5%
0.75	1	0.8%
28.57	1	0.8%
30.3	1	0.8%
30.77	1	0.8%

Value	Count	Frequency (%)
235.49	1	0.8%
205.26	1	0.8%
176.08	1	0.8%
167.32	1	0.8%
165.88	1	0.8%

SIXERS
Real number (ℝ_≥0)

ZEROS

Distinct	48
Distinct (%)	36.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	17.69230769
Minimum	0
Maximum	129
Zeros	26
Zeros (%)	20.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	6
Q3	29.75
95-th percentile	65.65
Maximum	129
Range	129
Interquartile range (IQR)	28.75

Descriptive statistics

Standard deviation	23.82814639
Coefficient of variation (CV)	1.346808274
Kurtosis	4.198432421
Mean	17.69230769
Median Absolute Deviation (MAD)	6
Skewness	1.889970957
Sum	2300
Variance	567.7805605
Monotocity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
0	26	20.0%
1	18	13.8%
3	7	5.4%
5	6	4.6%
2	5	3.8%
6	5	3.8%
8	4	3.1%
9	3	2.3%
24	3	2.3%
28	3	2.3%
Other values (38)	50	38.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	26	20.0%
1	18	13.8%
2	5	3.8%
3	7	5.4%
4	2	1.5%

Value	Count	Frequency (%)
129	1	0.8%
97	1	0.8%
86	1	0.8%
82	1	0.8%
81	1	0.8%

RUNS-C
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	92
Distinct (%)	70.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	475.5230769
Minimum	0
Maximum	1975
Zeros	36
Zeros (%)	27.7%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	297
Q3	689.25
95-th percentile	1690.95
Maximum	1975
Range	1975
Interquartile range (IQR)	689.25

Descriptive statistics

Standard deviation	558.3140487
Coefficient of variation (CV)	1.174105056
Kurtosis	0.3061870503
Mean	475.5230769
Median Absolute Deviation (MAD)	297
Skewness	1.195524991
Sum	61818
Variance	311714.577
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	36	27.7%
105	2	1.5%
40	2	1.5%
345	2	1.5%
627	1	0.8%
569	1	0.8%
1338	1	0.8%
1342	1	0.8%
321	1	0.8%
66	1	0.8%
Other values (82)	82	63.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	36	27.7%
21	1	0.8%
24	1	0.8%
29	1	0.8%
40	2	1.5%

Value	Count	Frequency (%)
1975	1	0.8%
1919	1	0.8%
1899	1	0.8%
1892	1	0.8%
1819	1	0.8%

WKTS
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	51
Distinct (%)	39.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	17.16923077
Minimum	0
Maximum	83
Zeros	41
Zeros (%)	31.5%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	8.5
Q3	23.75
95-th percentile	67.65
Maximum	83
Range	83
Interquartile range (IQR)	23.75

Descriptive statistics

Standard deviation	21.8167628
Coefficient of variation (CV)	1.270689589
Kurtosis	0.8111736185
Mean	17.16923077
Median Absolute Deviation (MAD)	8.5
Skewness	1.376289788
Sum	2232
Variance	475.9711389
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	41	31.5%
6	5	3.8%
2	4	3.1%
13	4	3.1%
9	4	3.1%
7	3	2.3%
36	3	2.3%
12	3	2.3%
8	3	2.3%
10	3	2.3%
Other values (41)	57	43.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	41	31.5%
1	3	2.3%
2	4	3.1%
3	1	0.8%
4	2	1.5%

Value	Count	Frequency (%)
83	1	0.8%
74	2	1.5%
73	1	0.8%
70	1	0.8%
69	2	1.5%

AVE-BL
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	88
Distinct (%)	67.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.11023077
Minimum	0
Maximum	126.3
Zeros	41
Zeros (%)	31.5%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	24.785
Q3	35.58
95-th percentile	52.5
Maximum	126.3
Range	126.3
Interquartile range (IQR)	35.58

Descriptive statistics

Standard deviation	20.80205724
Coefficient of variation (CV)	0.9001233022
Kurtosis	3.862907509
Mean	23.11023077
Median Absolute Deviation (MAD)	13.005
Skewness	1.203221134
Sum	3004.33
Variance	432.7255852
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	41	31.5%
52.5	2	1.5%
40	2	1.5%
14.38	1	0.8%
31.36	1	0.8%
37.88	1	0.8%
25.81	1	0.8%
29.92	1	0.8%
23.72	1	0.8%
24.83	1	0.8%
Other values (78)	78	60.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	41	31.5%
10.8	1	0.8%
12.09	1	0.8%
14.38	1	0.8%
15.33	1	0.8%

Value	Count	Frequency (%)
126.3	1	0.8%
86.25	1	0.8%
72.5	1	0.8%
71.2	1	0.8%
57.5	1	0.8%

ECON
Real number (ℝ_≥0)

ZEROS

Distinct	83
Distinct (%)	63.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.204461538
Minimum	0
Maximum	38.11
Zeros	36
Zeros (%)	27.7%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	7.38
Q3	8.2475
95-th percentile	10.308
Maximum	38.11
Range	38.11
Interquartile range (IQR)	8.2475

Descriptive statistics

Standard deviation	4.941530545
Coefficient of variation (CV)	0.7964479293
Kurtosis	12.59788749
Mean	6.204461538
Median Absolute Deviation (MAD)	1.095
Skewness	1.918096068
Sum	806.58
Variance	24.41872413
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	36	27.7%
8.25	3	2.3%
7.11	2	1.5%
7.75	2	1.5%
7.02	2	1.5%
7.89	2	1.5%
7.73	2	1.5%
7.71	2	1.5%
6.85	2	1.5%
9.55	2	1.5%
Other values (73)	75	57.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	36	27.7%
6.23	1	0.8%
6.36	1	0.8%
6.46	1	0.8%
6.49	1	0.8%

Value	Count	Frequency (%)
38.11	1	0.8%
21	1	0.8%
14.5	1	0.8%
14	1	0.8%
12	1	0.8%

SR-BL
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	82
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	17.38261538
Minimum	0
Maximum	100.2
Zeros	41
Zeros (%)	31.5%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	19.935
Q3	26.2125
95-th percentile	37.232
Maximum	100.2
Range	100.2
Interquartile range (IQR)	26.2125

Descriptive statistics

Standard deviation	15.27342169
Coefficient of variation (CV)	0.8786607397
Kurtosis	5.503533899
Mean	17.38261538
Median Absolute Deviation (MAD)	8.455
Skewness	1.294331573
Sum	2259.74
Variance	233.2774102
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	41	31.5%
33	3	2.3%
24	3	2.3%
12	2	1.5%
28.11	2	1.5%
27	2	1.5%
11.2	2	1.5%
32.77	1	0.8%
21.11	1	0.8%
21.19	1	0.8%
Other values (72)	72	55.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	41	31.5%
8.4	1	0.8%
11.2	2	1.5%
12	2	1.5%
13.41	1	0.8%

Value	Count	Frequency (%)
100.2	1	0.8%
58.5	1	0.8%
53	1	0.8%
44	1	0.8%
41.33	1	0.8%

AUCTION YEAR
Categorical

Distinct	4
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2008	75
2011	42
2009	10
2010	3

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	520
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2009
2nd row	2008
3rd row	2008
4th row	2011
5th row	2011

Value	Count	Frequency (%)
2008	75	57.7%
2011	42	32.3%
2009	10	7.7%
2010	3	2.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
2008	75	57.7%
2011	42	32.3%
2009	10	7.7%
2010	3	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	218	41.9%
2	130	25.0%
1	87	16.7%
8	75	14.4%
9	10	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	520	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	218	41.9%
2	130	25.0%
1	87	16.7%
8	75	14.4%
9	10	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	520	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	218	41.9%
2	130	25.0%
1	87	16.7%
8	75	14.4%
9	10	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	520	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	218	41.9%
2	130	25.0%
1	87	16.7%
8	75	14.4%
9	10	1.9%

BASE PRICE
Real number (ℝ_≥0)

Distinct	17
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	192230.7692
Minimum	20000
Maximum	1350000
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	20000
5-th percentile	50000
Q1	100000
median	200000
Q3	225000
95-th percentile	400000
Maximum	1350000
Range	1330000
Interquartile range (IQR)	125000

Descriptive statistics

Standard deviation	153097.3009
Coefficient of variation (CV)	0.7964245345
Kurtosis	28.76874716
Mean	192230.7692
Median Absolute Deviation (MAD)	50000
Skewness	4.400709209
Sum	24990000
Variance	2.343878354 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
200000	29	22.3%
100000	29	22.3%
150000	14	10.8%
250000	13	10.0%
50000	11	8.5%
225000	7	5.4%
400000	6	4.6%
300000	5	3.8%
125000	4	3.1%
20000	3	2.3%
Other values (7)	9	6.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20000	3	2.3%
50000	11	8.5%
100000	29	22.3%
125000	4	3.1%
150000	14	10.8%

Value	Count	Frequency (%)
1350000	1	0.8%
950000	1	0.8%
450000	1	0.8%
400000	6	4.6%
350000	2	1.5%

SOLD PRICE
Real number (ℝ_≥0)

Distinct	53
Distinct (%)	40.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	521223.0769
Minimum	20000
Maximum	1800000
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	20000
5-th percentile	50000
Q1	225000
median	437500
Q3	700000
95-th percentile	1527500
Maximum	1800000
Range	1780000
Interquartile range (IQR)	475000

Descriptive statistics

Standard deviation	406807.3514
Coefficient of variation (CV)	0.780486071
Kurtosis	2.004514771
Mean	521223.0769
Median Absolute Deviation (MAD)	237500
Skewness	1.376956313
Sum	67759000
Variance	1.654922212 × 10¹¹
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50000	6	4.6%
500000	6	4.6%
100000	6	4.6%
700000	5	3.8%
200000	5	3.8%
150000	5	3.8%
350000	5	3.8%
675000	5	3.8%
800000	5	3.8%
225000	4	3.1%
Other values (43)	78	60.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20000	1	0.8%
24000	1	0.8%
50000	6	4.6%
80000	1	0.8%
95000	1	0.8%

Value	Count	Frequency (%)
1800000	4	3.1%
1600000	1	0.8%
1550000	2	1.5%
1500000	1	0.8%
1350000	1	0.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Sl.NO.	PLAYER NAME	AGE	COUNTRY	TEAM	PLAYING ROLE	T-RUNS	T-WKTS	ODI-RUNS-S	ODI-SR-B	ODI-WKTS	ODI-SR-BL	CAPTAINCY EXP	RUNS-S	HS	AVE	SR-B	SIXERS	RUNS-C	WKTS	AVE-BL	ECON	SR-BL	AUCTION YEAR	BASE PRICE	SOLD PRICE
0	1	Abdulla, YA	2	SA	KXIP	Allrounder	0	0	0	0.00	0	0.0	0	0	0	0.00	0.00	0	307	15	20.47	8.90	13.93	2009	50000	50000
1	2	Abdur Razzak	2	BAN	RCB	Bowler	214	18	657	71.41	185	37.6	0	0	0	0.00	0.00	0	29	0	0.00	14.50	0.00	2008	50000	50000
2	3	Agarkar, AB	2	IND	KKR	Bowler	571	58	1269	80.62	288	32.9	0	167	39	18.56	121.01	5	1059	29	36.52	8.81	24.90	2008	200000	350000
3	4	Ashwin, R	1	IND	CSK	Bowler	284	31	241	84.56	51	36.8	0	58	11	5.80	76.32	0	1125	49	22.96	6.23	22.14	2011	100000	850000
4	5	Badrinath, S	2	IND	CSK	Batsman	63	0	79	45.93	0	0.0	0	1317	71	32.93	120.71	28	0	0	0.00	0.00	0.00	2011	100000	800000
5	6	Bailey, GJ	2	AUS	CSK	Batsman	0	0	172	72.26	0	0.0	1	63	48	21.00	95.45	0	0	0	0.00	0.00	0.00	2009	50000	50000
6	7	Balaji, L	2	IND	CSK+	Bowler	51	27	120	78.94	34	42.5	0	26	15	4.33	72.22	1	1342	52	25.81	7.98	19.40	2011	100000	500000
7	8	Bollinger, DE	2	AUS	CSK	Bowler	54	50	50	92.59	62	31.3	0	21	16	21.00	165.88	1	693	37	18.73	7.22	15.57	2011	200000	700000
8	9	Botha, J	2	SA	RR	Allrounder	83	17	609	85.77	72	53.0	1	335	67	30.45	114.73	3	610	19	32.11	6.85	28.11	2011	200000	950000
9	10	Boucher, MV	2	SA	RCB+	W. Keeper	5515	1	4686	84.76	0	0.0	1	394	50	28.14	127.51	13	0	0	0.00	0.00	0.00	2008	200000	450000

Last rows

	Sl.NO.	PLAYER NAME	AGE	COUNTRY	TEAM	PLAYING ROLE	T-RUNS	T-WKTS	ODI-RUNS-S	ODI-SR-B	ODI-WKTS	ODI-SR-BL	CAPTAINCY EXP	RUNS-S	HS	AVE	SR-B	SIXERS	RUNS-C	WKTS	AVE-BL	ECON	SR-BL	AUCTION YEAR	BASE PRICE	SOLD PRICE
120	121	Vettori, DL	2	NZ	DD+	Allrounder	4486	359	2105	81.93	282	45.7	1	121	29	15.13	107.08	2	878	28	31.36	6.81	27.75	2008	250000	625000
121	122	Vinay Kumar, R	2	IND	RCB+	Bowler	11	1	43	43.87	28	35.3	0	217	25	9.43	104.83	5	1664	61	27.28	8.24	19.87	2011	100000	475000
122	123	Warne, SK	3	AUS	RR	Bowler	3154	708	1018	72.04	293	36.3	1	198	34	9.90	92.52	6	1447	57	25.39	7.27	20.95	2008	450000	450000
123	124	Warner, DA	1	AUS	DD	Batsman	483	2	876	85.79	0	0.0	0	1025	109	27.70	135.76	44	0	0	0.00	0.00	0.00	2011	200000	750000
124	125	White, CL	2	AUS	RCB+	Batsman	146	5	2037	80.48	12	27.5	1	745	78	31.04	132.09	29	70	0	0.00	14.00	0.00	2008	100000	500000
125	126	Yadav, AS	2	IND	DC	Batsman	0	0	0	0.00	0	0.0	0	49	16	9.80	125.64	2	0	0	0.00	0.00	0.00	2010	50000	750000
126	127	Younis Khan	2	PAK	RR	Batsman	6398	7	6814	75.78	3	86.6	1	3	3	3.00	42.85	0	0	0	0.00	0.00	0.00	2008	225000	225000
127	128	Yuvraj Singh	2	IND	KXIP+	Batsman	1775	9	8051	87.58	109	44.3	1	1237	66	26.32	131.88	67	569	23	24.74	7.02	21.13	2011	400000	1800000
128	129	Zaheer Khan	2	IND	MI+	Bowler	1114	288	790	73.55	278	35.4	0	99	23	9.90	91.67	1	1783	65	27.43	7.75	21.26	2008	200000	450000
129	130	Zoysa, DNT	2	SL	DC	Bowler	288	64	343	95.81	108	39.4	0	11	10	11.00	122.22	0	99	2	49.50	9.00	33.00	2008	100000	110000

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows